Multi-parameter sensing cutting tool wear monitoring method

Abstract

The invention belongs to the technical field of metal cutting machining, and relates to a multi-parameter sensing cutting tool wear monitoring method. The cutting tool wear monitoring method providedby the invention is real-time online monitoring of a cutting process, and the cutting tool wear monitoring method comprises the following steps of measuring signals such as cutting power, cutting force, cutting vibration and cutting temperature in the cutting process on line through a plurality of sensors; fitting a multi-parameter sensing equation of the wear amount of the rear tool surface of atool with respect to the measurement signals and cutting parameters; and establishing a software system integrating sensing equation solutions, and realizing real-time monitoring of the wear of the cutting tool through the solutions to the sensing equation. The multi-signal measurement can realize the monitoring precision guarantee of the tool wear; and the fitting and solving of the sensing equation can realize intelligent monitoring of the tool wear. The multi-parameter sensing cutting tool wear monitoring method provided by the invention can be widely applied to tool wear monitoring in a metal material cutting process, realizes the intelligence of a cutting unit, and promotes comprehensive improvement of the service life of the tool and the cutting production efficiency.

Description

technical field

[0001] The invention relates to a multi-parameter sensing cutting tool wear monitoring method, belonging to the technical field of metal cutting. Background technique

[0002] Mechanical intelligent fault diagnosis is a key part of the realization of intelligent manufacturing. In the process of mechanical processing, cutting processing is the most important processing method for part forming and manufacturing. The wear of cutting tools can directly affect the processing accuracy, production efficiency and comprehensive manufacturing cost of parts. Therefore, , Tool wear monitoring is of great significance for ensuring production quality, reducing production costs, and realizing continuous automation of intelligent manufacturing. Tool wear monitoring methods are divided into direct measurement method and indirect measurement method. The direct measurement method uses optical measurement, ray measurement, discharge current measurement and other means to direct...

Examples

Embodiment

[0012] A multi-parameter sensing cutting tool wear monitoring method, which monitors the cutting power by measuring the input current of the machine tool, the cutting force by the piezoelectric crystal dynamometer, the cutting vibration by the acceleration sensor, and the cutting temperature by the thermocouple and the infrared thermal imager , to obtain the system monitoring feature signal; the method of gray system theory is used to fit the multi-parameter perception equation of the flank wear of the tool about the monitoring feature signal and cutting parameters; the solution program of the integrated perception equation is constructed by using LabVIEW software, through The programmed automatic solution of the perception equation realizes the real-time monitoring of cutting tool wear.

technical field

[0001] The invention relates to a multi-parameter sensing cutting tool wear monitoring method, belonging to the technical field of metal cutting. Background technique

[0002] Mechanical intelligent fault diagnosis is a key part of the realization of intelligent manufacturing. In the process of mechanical processing, cutting processing is the most important processing method for part forming and manufacturing. The wear of cutting tools can directly affect the processing accuracy, production efficiency and comprehensive manufacturing cost of parts. Therefore, , Tool wear monitoring is of great significance for ensuring production quality, reducing production costs, and realizing continuous automation of intelligent manufacturing. Tool wear monitoring methods are divided into direct measurement method and indirect measurement method. The direct measurement method uses optical measurement, ray measurement, discharge current measurement and other means to direct...

Examples

Embodiment

[0012] A multi-parameter sensing cutting tool wear monitoring method, which monitors the cutting power by measuring the input current of the machine tool, the cutting force by the piezoelectric crystal dynamometer, the cutting vibration by the acceleration sensor, and the cutting temperature by the thermocouple and the infrared thermal imager , to obtain the system monitoring feature signal; the method of gray system theory is used to fit the multi-parameter perception equation of the flank wear of the tool about the monitoring feature signal and cutting parameters; the solution program of the integrated perception equation is constructed by using LabVIEW software, through The programmed automatic solution of the perception equation realizes the real-time monitoring of cutting tool wear.

Images